A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study by Grant, Alex R.

“…To better assess coseismic landslide hazard on a regional scale a new terrain classification system is proposed. First, the landscape is divided into classes based on possible modes of failure, defining kinematically admissible regions, followed by mode-of-failure specific hazard analyses (strength admissibility) within each region. …”
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Binary Classification of 3D Small-Scale Medical Images Using Video Vision Transformers by Abi Younes, Simon

“…The VesselMNIST3d dataset binary classification experiment was implemented by treating the 3D image as video where the third dimension represents the number of frames. …”
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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

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A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification by Jessica Roelands (7516439)

“…We classified the samples according to different immune based classification systems and integrated this information into the datasets. …”

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm by Ghulam Jillani Ansari (16896342)

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AttDCT: Attention-Based Deep Learning Approach for Time Series Classification in the DCT Domain by Amine Haboub (22392097)

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Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques by Vinod Kumar (48743)

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CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification by Md Rabiul Islam (6424796)

“…CAT-Net establishes new benchmarks, achieving 99.14% overall accuracy and 94.69% macro F1 score on 5-class arrhythmia classification in the MIT-BIH dataset and 99.58% accuracy with 96.15% macro F1 score for 3-class classification in the INCART dataset.…”

Hybrid model for precise hepatitis-C classification using improved random forest and SVM method by Umesh Kumar Lilhore (17727684)

Suspicious Behavior Detection with Temporal Feature Extraction and Time-Series Classification for Shoplifting Crime Prevention by Nazir, Amril

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Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition by Tuffaha, Mohammed

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Heartbeat Abnormality Detection in Phonocardiogram Signals using Wavelet Time Scattering and Optimized KNN Classification by Tiwari, Shamik

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A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

Subjects: “…Learning management system Neural network algorithms Systematic review Text classification Virtual learning environment…”
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Knowledge Fusion by Harnessing Support Vector Machines for Collaborative Uncertain Data Classification in Multiagent Systems by Hussein, Ahmad MohdAziz

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Robust Polynomial Classifier Using L1-norm minimization by Assaleh, Khaled

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Synthetic Leakage Current Data Generation for Machine Learning-Based Pollution Classification in High Voltage Insulators by unknown

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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

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Defined Clinical Classifications Are Associated with Outcome of Patients with Anatomically Resectable Pancreatic Adenocarcinoma Treated with Neoadjuvant Therapy by Tzeng, Ching-Wei

“…Background We previously introduced a classification system for patients with localized pancreatic adenocarcinoma that integrates assessments of tumor anatomy, cancer biology, and patient physiology. …”
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